- By providing a highly accurate biological feature identification engine, the algorithm has been selected by 2,500 more security system developers, 100 more countries, and 300 world-famed companies. It is widely used in airports, harbors, criminal investigation, voter registration systems, issuing passports, and academic research.
- In the biological feature identification realm, we have been awarded with the highest honor in several competition games, including fingerprint supplier technical evaluation (FpVTE) and fingerprint verification completion (FVC) sponsored by NIST (National Institute of Standards and Technology).
- Meeting the international biological feature standards, it can be used in identifying large-sized biological features.
- Can be used in information exchange between standard information interfaces and biological features.
Large-sized Biological Feature System
The Large-sized Biological Feature System is an overall solution combining software and hardware that can provide solutions for high-speed identification and massive biological feature identification. It provides fast Web Service integration solutions for use with a variety of terminal systems such as mobile systems (Android, etc) and X86 (Windows, Linux).
With a richer experience in system integration, we can help customers quickly bring in the system.
- Fast pairing.
- Multi-source support: Supporting fingerprint and facial identification, etc.
- Scalable framework
- ISO & ANSI standard support
Mobile Platform Biological Feature System
- Provides a library for deploying on mobile devices.
- Supports human face sensing.
- Supports Android, iOS, Microsoft Windows, macOS, and Linux.
- Supports multi-lingual development.
Image String Identification Solutions
- Live snapshot and lot-based photo archiving.
- Human face sensing/tracking/capturing
- Age/gender identification
- Human face identification and B/W name list group management
- Human face snapshot and event management.
- Human face identification log and fast searching.
- ROI and human face size screening.
- SDK can provide third party integration.
- Feature identification: Age/gender/glasses/face mask/race/expression/beard
- Human face counting/track tracking/human face snap identification.
- Human face database can store up to 20,000 counts of data.
- Human face identification and B/W name list group management.
- Live body identification.